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Registro Completo |
Biblioteca(s): |
Embrapa Agrobiologia. |
Data corrente: |
05/03/2021 |
Data da última atualização: |
11/11/2022 |
Tipo da produção científica: |
Capítulo em Livro Técnico-Científico |
Autoria: |
ZAMAN, M.; KLEINEIDAM, K.; BAKKEN, L.; BERENDT, J.; BRACKEN, C.; BUTTERBACH-BAHL, K.; CAI, Z.; CHANG, S. X.; CLOUGH, T.; DAWAR, K.; DING, W. X.; DÖRSCH, P.; MARTINS, M. dos R.; ECKHARDT, C.; FIEDLER, T.; FROSCH, T.; GOOPY, J.; GORRES, C. M.; GUPTA, A.; HENJES, S.; HOFMMAN, M. E. G.; HORN, M. A.; JAHANGIR, M. M. R.; JANSEN-WILLEMS, A.; LENHART, K.; HENG, L.; LEWICKA-SZCZEBAK, D.; LUCIC, G.; MERBOLD, L.; MOHN, J.; MOLSTAD, L.; MOSER, G.; MURPHY, P.; SANZ-COBENA, A.; SIMEK, M.; URQUIAGA, S.; WELL, R.; WRAGE-MÖNNIG, N.; ZAMAN, S.; SHANG, J.; MÜLLER, C. |
Título: |
Methane production in ruminant animals. |
Ano de publicação: |
2021 |
Fonte/Imprenta: |
In: ZAMAN, M.; HENG, L.; Müller, C. (Ed.). Measuring emission of agricultural greenhouse gases and developing mitigation options using nuclear and related techniques: applications of nuclear techniques for GHGs. London: Springer, 2021. Chapter 6. |
Páginas: |
p. 177-211 |
ISBN: |
978-3-030-55396-8 |
DOI: |
https://doi.org/10.1007/978-3-030-55396-8_6 |
Idioma: |
Inglês |
Conteúdo: |
Agriculture is a significant source of GHGs globally and ruminant livestock animals are one of the largest contributors to these emissions, responsible for an estimated 14% of GHGs (CH4 and N2O combined) worldwide. A large portion of GHG fluxes from agricultural activities is related to CH4 emissions from ruminants. techniques, artificial (e.g. SF6) or natural (e.g. CO2) tracer techniques, and micrometeorological methods using open-path lasers. Under the indirect methods, emission mechanisms are understood, where the CH4 emission potential is estimated based on the substrate characteristics and the digestibility (i.e. from volatile fatty acids). These approximate methods are useful if no direct measurement is possible. The different systems used to quantify these emission potentials are presented in this chapter. Also, CH4 from animal waste (slurry, urine, dung) is an important source: methods pertaining to measuring GHG potential from these sources are included |
Thesaurus Nal: |
Animal wastes; Animals; cattle; climate change; greenhouse gas emissions; urine. |
Categoria do assunto: |
-- |
Marc: |
LEADER 02950naa a2200709 a 4500 001 2130523 005 2022-11-11 008 2021 bl uuuu u00u1 u #d 020 $a978-3-030-55396-8 024 7 $ahttps://doi.org/10.1007/978-3-030-55396-8_6$2DOI 100 1 $aZAMAN, M. 245 $aMethane production in ruminant animals.$h[electronic resource] 260 $c2021 300 $ap. 177-211 520 $aAgriculture is a significant source of GHGs globally and ruminant livestock animals are one of the largest contributors to these emissions, responsible for an estimated 14% of GHGs (CH4 and N2O combined) worldwide. A large portion of GHG fluxes from agricultural activities is related to CH4 emissions from ruminants. techniques, artificial (e.g. SF6) or natural (e.g. CO2) tracer techniques, and micrometeorological methods using open-path lasers. Under the indirect methods, emission mechanisms are understood, where the CH4 emission potential is estimated based on the substrate characteristics and the digestibility (i.e. from volatile fatty acids). These approximate methods are useful if no direct measurement is possible. The different systems used to quantify these emission potentials are presented in this chapter. Also, CH4 from animal waste (slurry, urine, dung) is an important source: methods pertaining to measuring GHG potential from these sources are included 650 $aAnimal wastes 650 $aAnimals 650 $acattle 650 $aclimate change 650 $agreenhouse gas emissions 650 $aurine 700 1 $aKLEINEIDAM, K. 700 1 $aBAKKEN, L. 700 1 $aBERENDT, J. 700 1 $aBRACKEN, C. 700 1 $aBUTTERBACH-BAHL, K. 700 1 $aCAI, Z. 700 1 $aCHANG, S. X. 700 1 $aCLOUGH, T. 700 1 $aDAWAR, K. 700 1 $aDING, W. X. 700 1 $aDÖRSCH, P. 700 1 $aMARTINS, M. dos R. 700 1 $aECKHARDT, C. 700 1 $aFIEDLER, T. 700 1 $aFROSCH, T. 700 1 $aGOOPY, J. 700 1 $aGORRES, C. M. 700 1 $aGUPTA, A. 700 1 $aHENJES, S. 700 1 $aHOFMMAN, M. E. G. 700 1 $aHORN, M. A. 700 1 $aJAHANGIR, M. M. R. 700 1 $aJANSEN-WILLEMS, A. 700 1 $aLENHART, K. 700 1 $aHENG, L. 700 1 $aLEWICKA-SZCZEBAK, D. 700 1 $aLUCIC, G. 700 1 $aMERBOLD, L. 700 1 $aMOHN, J. 700 1 $aMOLSTAD, L. 700 1 $aMOSER, G. 700 1 $aMURPHY, P. 700 1 $aSANZ-COBENA, A. 700 1 $aSIMEK, M. 700 1 $aURQUIAGA, S. 700 1 $aWELL, R. 700 1 $aWRAGE-MÖNNIG, N. 700 1 $aZAMAN, S. 700 1 $aSHANG, J. 700 1 $aMÜLLER, C. 773 $tIn: ZAMAN, M.; HENG, L.; Müller, C. (Ed.). Measuring emission of agricultural greenhouse gases and developing mitigation options using nuclear and related techniques: applications of nuclear techniques for GHGs. London: Springer, 2021. Chapter 6.
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Embrapa Agrobiologia (CNPAB) |
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1. | | MUNOZ, P.; RESENDE JUNIOR, M.; RESENDE, M. D. V. de; GEZAN, S.; KIRST, M.; PETER, G. The re-discovery of the dominance variation by using the observed relationship matrix and itis implications in breeding. In: INTERNATIONAL CONFERENCE ON QUANTITATIVE GENETICS, 4., 2012, Edinburgh. Understanding Variation in Complex Traits. . [S.l.: s.n], 2012. Poster abstracts. P-367.Tipo: Resumo em Anais de Congresso |
Biblioteca(s): Embrapa Florestas. |
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2. | | RESENDE JUNIOR, M. F. R.; MUÑOZ, P.; ACOSTA, J. J.; PETER, G. F.; DAVIS, J. M.; GRATTAPAGLIA, D.; RESENDE, M. D. V. de; KIRST, M. Accelerating the domestication of trees using genomic selection: accuracy of prediction models across ages and environments. New Phytologist, v. 193, p. 617-624, 2012.Tipo: Artigo em Periódico Indexado | Circulação/Nível: A - 1 |
Biblioteca(s): Embrapa Florestas; Embrapa Recursos Genéticos e Biotecnologia. |
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3. | | MUÑOZ, P. R.; RESENDE JUNIOR, M. F. R.; GEZAN, S. A.; RESENDE, M. D. V. de; CAMPOS, G. de los; KIRST, M.; HUBER, D.; PETER, G. F. Unraveling additive from nonadditive effects using genomic relationship matrices. Genetics, v. 198, p. 1759-1768, Dec. 2014.Tipo: Artigo em Periódico Indexado | Circulação/Nível: A - 1 |
Biblioteca(s): Embrapa Florestas. |
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4. | | RESENDE JUNIOR, M.; DELL VALLE, P. R. M.; RESENDE, M. D. V. de; GARRICK, D. J.; FERNANDO, R.; DAVIS, J. M.; PETER, G.; KIRST, M. Improvement of genomic selection using a ridge regression approach with selected markers. In: INTERNATIONAL CONFERENCE ON QUANTITATIVE GENETICS, 4., 2012, Edinburgh. Understanding Variation in Complex Traits. . [S.l.: s.n], 2012. Poster abstracts. P-199.Tipo: Resumo em Anais de Congresso |
Biblioteca(s): Embrapa Florestas. |
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5. | | RESENDE JUNIOR, M. F. R.; MUÑOZ, P.; RESENDE, M. D. V. de; GARRICK, D. J.; FERNANDO, R. L.; DAVIS, J. M.; JOKELA, E. J.; MARTIN, T. A.; PETER, G. F.; KIRST, M. Accuracy of genomic selection methods in a standard data set of loblolly pine (Pinus taeda L.) Genetics, v. 190, p. 1503-1510, April 2012.Tipo: Artigo em Periódico Indexado | Circulação/Nível: A - 1 |
Biblioteca(s): Embrapa Florestas. |
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6. | | MUNOZ, P. R.; RESENDE JUNIOR, M. F. R.; HUBER, D. A.; QUESADA, T.; RESENDE, M. D. V. de; NEALE, D. B.; WEGRZYN, J. L.; KIRST, M.; PETER, G. F. Genomic relationship matrix for correcting pedigree errors in breeding populations: impact on genetic parameters and genomic selection accuracy. Crop Science, v. 54, p. 115-1123, May/June 2014.Tipo: Artigo em Periódico Indexado | Circulação/Nível: A - 1 |
Biblioteca(s): Embrapa Florestas. |
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Registros recuperados : 6 | |
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